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AI & Backend Engineer

CleraMunich🇩🇪GermanyPosted 3 Sept 2026

Why This Role Stands Out

This high-impact role offers you the chance to own end-to-end features, shape cutting-edge AI capabilities, and scale innovative architectures at a rapidly growing B2B SaaS company. You'll thrive here if you're eager to build and enhance AI features, collaborate across product and AI teams, and drive the future of intelligent customer support. Apply now to make a direct impact and grow your skills in a dynamic, early-stage environment.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Location
Munich, Germany
Posted
3 days ago
DockerFirestoreGCPNext.jsConcreteKubernetesPostgreSQLReactTypeScript

Job Description

About the Role

This is a full-stack engineering role embedded across the product and AI teams at an early-stage B2B AI customer support SaaS company. You will own end-to-end features, shape AI-powered capabilities, and help scale the architectures that drive intelligent support agents. It is a high-impact position where your work directly pushes the boundaries of what current-generation AI systems can do for real users.

What You'll Do

  • Design and implement full-stack product features from concept through production.

  • Build and enhance AI features, including data pipelines and model integrations.

  • Collaborate with the team to plan, design, and launch new product capabilities.

  • Help make internal workflows AI-native by integrating AI tooling into everyday processes.

What We're Looking For

  • 1 to 4 years of experience in backend or AI engineering; strong new-grad candidates are welcome.

  • Proven track record shipping backend systems or AI features to production.

  • Hands-on experience integrating with OpenAI models and prompt engineering.

  • Experience designing end-to-end architectures and building AI-powered data or model pipelines.

  • Proficiency with Next.js, React, and TypeScript for full-stack development.

  • Familiarity with PostgreSQL and/or Firestore (GCP) for data storage.

  • Experience deploying and operating applications with Docker and Kubernetes.

  • Active user of AI coding agents such as Codex, Claude Code, or Cursor, with concrete ideas or learnings on how to improve AI coding agent setups.

  • Personal hobby projects involving LLMs or related AI topics, showing genuine curiosity in the space.

  • Background at companies in enterprise software, customer support tooling, or AI SaaS is a strong plus.

Location

On-site, 5 days per week in Munich, Bavaria, Germany. Visa sponsorship is available.

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